Dr. Michael Manzke
Assistant Professor, Computer Science
Biography
Dr. Michael Manzke is an Assistant Professor in Computer Science at TCD since 1999 and a member of the GV2 group. He received his PhD from TCD in 2006 and has published over 30 peer reviewed publications in journals and conference proceedings e.g. ACM Transactions on Graphics (TOG) and International Journal of Computer Vision (IJCV). Furthermore, he filed 4 patents. Dr. Manzke's focusses on high performance low power graphics architectures and algorithms. This work is equally applicable to computer vision problems. Interactive Computer Graphics and Computer Vision applications require systems that deliver high performance while consuming very small amounts power. This is increasingly important for ubiquitous mobile applications such as augmented reality. He and his team of researchers address these research questions by investigating microarchitectures and algorithms that are specifically designed for Visual Computing computation. He works closely with industry partners such as Xilinx, Dolphin Interconnect Solutions, Intel, Sony, Toshiba, IBM, and Movidius on these problems. Dr. Manzke is supervising and supervised in total 13 team members: Postdocs(3), PhD(8), and Research Engineers(2). He has received 8 grants from Science Foundation Ireland, IRCSET, Enterprise Ireland, and Irish Research Council with a total amount of 1,826,319 and a total amount allocated to the candidate of 1,155,159.
Publications and Further Research Outputs
Peer-Reviewed Publications
M. J. Doyle and C. Tuohy and M. Manzke, Evaluation of a BVH Construction Accelerator Architecture for High-Quality Visualization, IEEE Transactions on Multi-Scale Computing Systems, 2017, p83 - 94
Colin Fowler, Michael J. Doyle, and Michael Manzke, Adaptive BVH: an evaluation of an efficient shared data structure for interactive simulation, Proceedings of the 30th Spring Conference on Computer Graphics, Conference on Computer Graphics (SCCG '14), Smolenice, Slovakia, ACM, 2014, pp37 - 45
David Ganter and Michael Manzke, An Analysis of Region Clustered BVH Volume Rendering on GPU, Computer Graphics Forum, 38, (8), 2019, p13 - 21
Michael Doyle, Colin Fowler, Michael Manzke, A Hardware Unit for Fast SAH-optimised BVH Construction, ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings, 32, (4), 2013, p139:1 - 139:10
Muiris Woulfe and Michael Manzke, A hybrid fixed-function and microprocessor solution for high-throughput broad-phase collision detection, EURASIP Journal on Embedded Systems, 2017, (1), 2016, p1 - 15
Michael Doyle, Colin Fowler, Michael Manzke, 'HARDWARE UNIT FOR FAST SAH-OPTIMIZED BVH CONSTRUCTION', U.S. Patent and Trademark Office, 2014
Cem Direkoglu, Rozenn Dahyot, Michael Manzke, On using Anisotropic Di ffusion for Skeleton Extraction, International Journal of Computer Vision, 100, (2), 2012, p170 - 189
Michael Manzke, Ross Brennan, Keith O'Conor, John Dingliana and Carol O'Sullivan, A scalable and reconfigurable shared-memory graphics architecture, International Conference on Computer Graphics and Interactive Techniques (ACM SIGGRAPH 2006 Sketches), Boston, 30 July - 3 August, 2006, pp182 - 182
Seán Martin, Seán Bruton, David Ganter, and Michael Manzke, Synthesising Light Field Volume Visualisations Using Image Warping in Real-Time, Communications in Computer and Information Science, VISIGRAPP 2019, Prague, 25-27 February 2019, edited by Cláudio A. et al. , 1182, Springer International Publishing, 2020, pp30 - 47
Seán Bruton, David Ganter, and Michael Manzke, Fast Approximate Light Field Volume Rendering: Using Volume Data to Improve Light Field Synthesis via Convolutional Neural Networks, Communications in Computer and Information Science, VISIGRAPP 2019, Prague, 25-27 February 2019, edited by Cláudio A. et al. , 1182, Springer International Publishing, 2020, pp338 - 361
Michael Manzke, Distributed Shared Memory Architectures and Global Performance State Estimation, Trinity College Dublin, 2006
Manzke, M. and Coghlan, B., Optimal performance state estimation of computer systems, 13th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), Atlanta, USA, 27-29 Sept., 2005, IEEE, 2005, pp511 - 514
Doyle, Michael J. and Fowler, Colin and Manzke, Michael, Hardware Accelerated Construction of SAH-based Bounding Volume Hierarchies for Interactive Ray Tracing, Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, Symposium on Interactive 3D Graphics and Games, Costa Mesa, California, ACM, 2012, pp209 - 209
M. Manzke, S. Kenny, B. Coghlan and O.Lysne, Tuning and Verification of Simulation Models for High Speed Interconnection, Proceedings of 2001 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA'2001), Monte Carlo Resort, Las Vegas, Nevada, USA, June 25 - 28, 2001
Manzke, M. Coghlan, B., Non-Intrusive Deep Tracing of SCI Interconnect Traffic, Proceedings of SCI-Europe, September 2nd and 3rd, 1999 held as a Conference Stream of Euro-PAR'99, Toulouse, France, Aug 31st - Sept 3rd, 1999
R.Brennan, M.Manzke, On the Introduction of Reconfigurable Hardware into Computer Architecture Education, Proceedings of the Workshop on Computer Architecture Education (WCAE 2003), San Diego, California, USA, June 8th, 2003
B. Coghlan, A. Shearer, M. Manzke and J. Morrison, Grid Research in Ireland, Proceedings of 2001 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA'2001), Monte Carlo Resort, Las Vegas, Nevada, USA, June 25 - 28, 2001
M.Manzke, R.Brennan, Extending FPGA based Teaching Boards into the area of Distributed Memory Multiprocessors, Workshop on Computer Architecture Education (WCAE 2004), Munich, Germany, June 19th, 2004
Eoin Creedon, Ross Brennan and Michael Manzke, Towards a Scalable Field Programmable Gate Array Cluster for Interactive Parallel Ray-Tracing, Seventh Irish Workshop on Computer Graphics 2006, 23 October, edited by Cathrine Noonan , 2006, pp19 - 26
Muiris Woulfe and Michael Manzke, Towards a Field-Programmable Physics Processor (FP³), 7th Irish Workshop on Computer Graphics (Eurographics Ireland Chapter 2006), Dún Laoghaire, Dublin, Ireland, 31 October 2006, edited by Catherine Noonan , IADT Dun Laoghaire, 2006, pp44 - 50
Ross Brennan, Michael Manzke, Keith O'Conor, John Dingliana and Carol O'Sullivan, A Scalable and Reconfigurable Shared-Memory Graphics Cluster Architecture, International Conference on Engineering of Reconfigurable Systems and Algorithms (ERSA'07), Las Vegas, US, June 28, 2007, pp284 - 290
Muiris Woulfe, John Dingliana and Michael Manzke, Hardware Accelerated Broad Phase Collision Detection, The 34th International Conference and Exhibition on Computer Graphics and Interactive Techniques (SIGGRAPH 2007), San Diego, California, USA, 5-9 August 2007, edited by Marc Alexa and Adam Finkelstein , ACM, 2007
Manzke,M., Coghlan,B.A., Non-Intrusive Deep Tracing of SCI Interconnect Traffic, SCIEurope'99, Toulouse, September 1999, ISBN 82-14-00014-9, SINTEF, 1999, pp53 - 58
Muiris Woulfe, John Dingliana and Michael Manzke, Hardware Accelerated Broad Phase Collision Detection for Realtime Simulations, 4th Workshop on Virtual Reality Interaction and Physical Simulation (VRIPHYS 2007), Dublin, Ireland, 9 November 2007, edited by John Dingliana and Fabio Ganovelli , Eurographics Association, 2007, pp79 - 88
Manzke, M., Kenny, S., Coghlan, B. and Lysne, O., Tuning and Verification of Simulation Models for High Speed Interconnect fabrics, Proc. Int.Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA'2001), Las Vegas, June 2001, ISBN 1-892512-70-X, CSREA Press, 2001
Coghlan, B., Shearer, A., Manzke, M. and Morrison, J., Grid Research in Ireland, Proc. Int.Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA'2001), Las Vegas, June, 2001, ISBN 1-892512-70-X, CSREA Press, 2001
Muiris Woulfe, John Dingliana and Michael Manzke, Hardware Accelerated Broad Phase Collision Detection for Interactive Entertainment Applications, Irish Graduate Student Symposium on Vision, Graphics and Visualisation 2008 (VGV08), Dublin, Ireland, 5 June 2008, edited by Gerard Lacey, Alan Smeaton and Aaron Quigley , Trinity College Dublin, 2008, pp20
Muiris Woulfe and Michael Manzke, A Framework for Benchmarking Interactive Collision Detection, 25th Spring Conference on Computer Graphics (SCCG 2009), Budmerice, Slovakia, 23-25 April 2009, edited by Helwig Hauser , Comenius University, 2009, pp221 - 228
Ross Brennan and Michael Manzke, SPARTA: A Scalable Architecture for Ray-Tracing Applications, SIGGRAPH Asia, Conference on Sketches and Applications, Singapore, 10-13 December 2008, 2008
Eoin Creedon, Michael Manzke, Scalable High Performance Computing on FPGA Clusters Using Message Passing, Field-Programmable Logic and Applications, 18th International Conference, Heidelberg, Germany, Sept. 8 - 10, IEEE, 2008, pp443 - 446
Colin Fowler, Michael Manzke, Steven Collins, Accelerated Entry Point Search Algorithm for Real Time Ray Tracing, Spring Conference on Computer Graphics, Slovakia, April 25th 2009, 2009, pp29 - 37
Jonathan Ruttle, Michael Manzke, Rozenn Dahyot, Estimating 3D Scene Flow from Multiple 2D Optical Flows, International Machine Vision and Image Processing conference (IMVIP 2009), Trinity College Dublin, 2nd - 4th September, 2009, pp1 - 6
Muiris Woulfe, Eoin Creedon, Ross Brennan, Michael Doyle and Michael Manzke, Programming Models for Reconfigurable Application Accelerators, 1st Workshop on Programming Models for Emerging Architectures (PMEA 2009), Raleigh, North Carolina, USA, 12 September 2009, edited by Marc Gonzalez Tallada, Alejandro Duran Gonzalez, Rosa M Badia Sala and Xavier Martorell Bofill , Barcelona Supercomputing Center, 2009, pp77 - 83
Eoin Creedon, Michael Manzke, Impact of Fragmentation Strategy on Ethernet Performance, IFIP International Conference on Network and Parallel Computing (NPC 2009), Australia, October, IFIP, 2009, pp30 - 37
Eoin Creedon, Michael Manzke, Software vs. Hardware Message Passing Implementations for FPGA Clusters, International Conference on Parallel Computing, France, September, 2009, pp8
Muiris Woulfe, Analogue Dynamics Engine (ADE), University of Dublin, 2005
Jonathan Ruttle, Michael Manzke, Martin Prazak, Rozenn Dahyot, Synchronized Real-time Multi-Sensor Motion Capture System, SIGGRAPH Asia 2009, Sketches & Posters Program, Yokohama, Japan, 16 - 19 December, 2009
Michael Manzke and Muiris Woulfe, The Provost, Fellows and Scholars of the College of the Holy and Undivided Trinity of Queen Elizabeth near Dublin, Micro-architecture System and Method for Data Processing, 2009, Irish Patent s2009/0940
Michael Manzke, Michael Doyle, Ross Brennan, The Provost, Fellows and Scholars of the College of the Holy and Undivided Trinity of Queen Elizabeth near Dublin, A Micro-architecture System and Method for ray tracing and collision detection, 2009, Europe 09179394.3, USA 61/286,935
Ross Brennan, A Scalable and Reconfigurable Shared Memory Architecture for Large-Scale Graphics Applications, Trinity College Dublin, 2009
Thomas Heade and Michael Manzle, HDR Image Composition and Tone Mapping on the Cell Processor, Eurographics Ireland Workshop Series, Trinity College Dublin, 11 December 2009, edited by Yann Morvan and Veronica Sundstedt , 9, Eurographics Irish Chapter, 2009, pp59 - 66
Stephen Cavanagh and Michael Manzke, Real Time Disparity Map Estimation on the Cell Processor, Eurographics Ireland Workshop Series, Trinity College Dublin, 11 December 2009, edited by Yann Morvan and Veronica Sundstedt , 9, Eurographics Irish Chapter, 2009, pp67 - 74
Muiris Woulfe, A Hybrid Software and Hardware System for Collision Detection, University of Dublin, Trinity College, 2010
Eoin Creedon, FPGA Message Passing Cluster Architectures, Trinity College Dublin, 2010
Muiris Woulfe, Michael Doyle and Michael Manzke, Collision Detection Hardware Optimised for Ray-Tracers, Conference on High-Performance Graphics 2010 (HPG 2010), Saarbrücken, Germany, 25-27 June 2010, edited by Aaron Lefohn and Austin Robison , Eurographics Association, 2010, pp1
Colin Fowler, Steven Collins and Michael Manzke, Real-Time Ray-Tracing for Physically Simulated Scenes, High Performance Graphics 2010, Saarbruecken, Germany, 2010, pp1
Jonathan Ruttle, Michael Manzke, Rozenn Dahyot, Smooth Kernel Density Estimate for Multiple View Reconstruction, 7th European Conference for Visual Media Production, London, 17 - 18 November, 2010
Cem Direkoglu, Rozenn Dahyot and Michael Manzke, Skeleton Extraction via Anisotropic Heat Flow , British Machine Vision Conference 2010 (BMVC 2010), Aberystwyth, United Kingdom, 31/08-03/09, edited by Labrosse, Fr\'ed\'eric and Zwiggelaar, Reyer and Liu, Yonghuai and Tiddeman, Bernie , BMVA Press, 2010, pp61.1 - 61.11
Doyle, Michael. and Luo, Shengzhou. and Manzke, Michael, Fast Hardware-Accelerated Construction of Spatial Index Structures for Visualization of Time-Varying Medical Data, MedViz and Visual Computing for Biology and Medicine Conference 2016, Bergen, Norway, 2016, pp79 - 81
Anil Kokaram, Trinity College Dublin, Ireland Michael Manzke, Trinity College Dublin, Ireland Michaela Blott, Xilinx, Ireland Miriam Leeser, Northeastern University, USA Suhaib Fahmy, University of Warwick, UK(ed.), 28th International Conference on Field Programmable Logic and Applications (FPL) , Trinity College Dublin, Ireland, 27-31 August, 2018, 1-100 p
David Ganter and Martin Alain and David Hardman and Aljosa Smolic and Michael Manzke , Light-Field DVR on GPU for Streaming Time-Varying Data, Pacific Graphics , Hong Kong, 8-11 October, edited by Hongbo Fu and Abhijeet Ghosh and Johannes Kopf , The Eurographics Association, 2018, pp4
SeanMartin and Sean Bruton and David Ganter and Michael Manzke, Using a Depth Heuristic for Light Field Volume Rendering, 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP), Prague, Czech Republic, 25-27 February, 2019, pp134 - 144
Sean Bruton and David Ganter and Michael Manzke, Synthesising Light Field Volumetric Visualizations in Real-time Using A Compressed Volume Representation, 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP), Prague, Czech Republic, 25-27 February, 2019, pp96 - 105
Colin Fowler, Efficient Data Structure and Algorithms for Real-Time Interactive Simulations, Trinity College Dublin, 2016
Chao Liu, Matej Ulicny, Michael Manzke, Rozenn Dahyot, Context Aware Object Geotagging, Irish Machine Vision and Image Processing (IMVIP 2021), DCU - Dublin City University, Dublin, Ireland, 01 - 03 Sep 2021, 2021, pp65 - 72
Supratik Banerjee Cagri Ozcinar, Aakanksha Rana Aljosa Smolic Michael Manzke, Sub-Pixel Back-Projection Network For Lightweight Single Image Super-Resolution, The 2020 Irish Machine Vision and Image Processing Conference (IMVIP 2020) is hosted online this year by IT Sligo Sligo, 2020., 2020
Reem Aljuaidi, Micheal Manzke, Predicting Good Features Using A Hybrid Feature For Visual Geolocation System, The 14th International Conference on Digital Image Processing (ICDIP 2022), Wuhan, China, May 20-23, 2022
Doyle, M.J. and Fowler, C. and Manzke, M., A hardware unit for fast SAH-optimised BVH construction, ACM Transactions on Graphics, 32, (4), 2013
Woulfe, M. and Manzke, M., A framework for benchmarking interactive collision detection, 2009, pp205-212
Aljuaidi, R. and Manzke, M., An Efficient Visual Place Recognition System by Predicting Unique Features, 2022, pp555-560
Reem Aljuaidi, Towards Efficient Visual Place Recognition Methods in Challenging Environments by Adaptive Representations, Trinity College Dublin, 2023
Chao Jung Liu, Denoising approaches for data preparation in machine learning, Tinity College, 2022
David Ganter, Efficient GPU usage for rendering of Volume Data, Trinity College Dublin, 2020
Alobaid, M. and Manzke, M., Work-in-Progress"Design of Immersive Virtual Reality Environment for Learning 3D Transformations, 10th International Conference of the Immersive Learning Research Network (iLRN) Proceedings - Selected Academic Contributions, 2024, 2024, pp96 - 102
Maha Alobaid and Michael Manzke, Can an Immersive Virtual Learning Environment Enhance Spatial Visualization Skills in Learning 3D Transformations?, DEC23: Digital Education Conference, Waterford, Ireland, December 12-13, 2023, 2023
Non-Peer-Reviewed Publications
M. Manzke, Cluster Computing, Dublin Institute of Technology, February, 2000
M. Manzke, A Computer Architect's view on Parallel Architectures, Dublin Institute of Technology, February, 2001
B. Skaali, M. Manzke, and B. Coghlan, SCI Hardware Support Tools , SCI Summer School 2000, Trinity College Dublin, Ireland, October, 2000
Muiris Woulfe and Michael Manzke, Field-Programmable Physics Processor (FP³), Xilinx Academic Forum Ireland (XAFI 2006), Citywest, 22 June 2006, edited by Dave Carroll , Xilinx, 2006
Coghlan, Brian and Manzke, Michael, grid-ireland, ERCIM News, (45), 2001
Michael J. Doyle, Hardware Support for Power and Area Efficient Construction of High-Quality Bounding Volume Hierachies, Trinity College Dublin, 2014
Fine-Davis, M., Welcome Address, Mental Health and the Workplace: Challenges and Opportunities, Trinity College, Dublin, 13 March, 2000
Research Expertise
Description
My PhD work on cluster performance estimation led to an interest into scalable reconfigurable architectures for large scale interactive graphics applications. I moved from the Computer Architecture Group to the Graphics Vision and Visualisation Group (GV2). I investigated with my PhD students and postdocs a scalable reconfigurable interface for Graphics Processing Units (GPUs) as a closely coupled alternative to high latency cluster solutions. We also investigated a hardware message passing protocol that interconnects clusters of field programmable gate array (FPGA) directly as a cost-effective alternative to a share memory solution. At that point I changed my focus from scalable rasterization hardware to scalable ray-tracing hardware because I saw this as a potential solution for future large scale interactive graphics applications. I also believe that scalable closely coupled systems need to execute parts of their algorithm on microprocessors and other aspects on fixed function hardware (microarchitectures). Consequently, we investigated hardware accelerated collision detection and hardware accelerated construction of SAH based bounding volume hierarchies for interactive ray-tracing with particular promising results for the BVH builder. Furthermore, we investigate joint acceleration data structures for collision detection and ray tracing. This work can be seen in Nvidia's latest GPUs. Another interest developed through my research activities as Co-Director of the SONY TOSHIBA IBM (STI) Cell Center of Competence Europe. We investigated some computer vision problems particular Skeleton Extraction and Multiple View Reconstruction. We also worked, in close collaboration with Sony Broadcast & Professional Research Laboratories, at real-time Cell processor algorithm for their professional stereo camera rigs. More recently my work addresses the problem of real-time interactive visualisation of 3D scientific data, namely volumetric datasets, which are ubiquitous in many application domains such as Medicine, Biology, Biomechanics, Neuroscience, Fluid Dynamics and Veterinary Medicine. Specifically, this work deals with the problem of time-variant and multivariate volume data sets which have become more readily available in recent years due to improved scanning technologies and simulation techniques. Such data sets are particularly difficult to deal with due to their computational complexity as well as the information overload that can arise from such visually challenging data. We employ graphics hardware and parallel computing strategies to address the performance issue, whilst information overload is dealt with using techniques from perceptually adaptive graphics, computational aesthetics and non-photorealistic rendering which apply smart techniques to improve usability and understandability of data. I did this research in collaboration with my colleague Dr. John Dingliana. I focus on the performance issue while Dr. Dingliana looked after the perceptually adaptive graphics. Furthermore, much of my recent work focuses on low power architectures for computer graphics, deep learning, and light fields for volume rendering.Projects
- Title
- A Shared-Memory Hybrid Graphics Cluster for Visualisation and Video Processing
- Summary
- In July 2004, SFI awarded Michael Manzke of the CAG, Dr Carol O'Sullivan of the ISG and Dr Anil Kokaram of the Electronic and Electrical Engineering Department a Basic Research Grant. As principal investigator, Dr Carol O'Sullivan leads this research effort that investigates "A Shared-Memory Hybrid Graphics Cluster for Visualisation and Video Processing".
- Funding Agency
- Science Foundation Ireland
- Date From
- 2004
- Date To
- 2007
- Title
- Physical Simulation on Scalable and Reconfigurable Shared-Memory Graphics Cluster
- Funding Agency
- IRCSET
- Date From
- 2005
- Date To
- 2009
- Title
- Real-time Ray tracing on multi-core architectures
- Summary
- Investigating efficient multi threading/parallelisation of graphics and rendering algorithms and their application to real time raytracing on next generation multi-core cpu architectures.
- Funding Agency
- IRCSET
- Date From
- 2006
- Date To
- 2009
- Title
- A Scalable programmable architecture for Ray-tracing applications
- Summary
- This project investigates scalable and programmable architecture for Ray-tracing applications
- Funding Agency
- Enterprise Ireland
- Date From
- 2008
- Date To
- 2011
- Title
- Motion Capture and Motion Capture Data Compressionon on Cell Processors
- Summary
- This Enterprise Ireland Innovation Partnership project with Sony Toshiba and IBM in concerend with motion capture and motion capture data compression on Cell processors.
- Funding Agency
- Enterprise Ireland
- Date From
- 2008
- Date To
- 2010
- Title
- Low Power Architectures for Computer Graphics
- Funding Agency
- Irish Research Council
- Date From
- 2014
- Date To
- 2014
- Title
- aRTIVVIS: Real-time Time-variant Volume Visualisation
- Summary
- This proposal addresses the problem of real-time interactive visualisation of 3D scientific data, namely volumetric datasets, which are ubiquitous in many application domains such as Medicine, Biology, BioMechanics, Neuroscience, Fluid Dynamics and Veterinary Medicine. Specifically, we deal with the problem of time-variant and multivariate volume data sets which have become more readily available in recent years due to improved scanning technologies and simulation techniques. Such data sets are particularly difficult to deal with due to their computational complexity as well as the information overload that can arise from such visually challenging data. We will employ graphics hardware and parallel computing strategies to address the performance issue, whilst information overload will be dealt with using techniques from perceptually adaptive graphics, computational aesthetics and non-photorealistic rendering which apply smart techniques to improve usability and understandability of data.
- Funding Agency
- Science Foundation Ireland
- Date From
- 2014
- Date To
- 2019
Recognition
Representations
External Examiner with the School of Computing, Dublin City University for the BSc in Computer Applications (Software Engineering) programme.
Management Committee Member to COST Action IC1005: HDRi: The digital capture, storage, transmission and display of real-world lighting
CTO QUATERNION LABS Limited
Co-Director SONY TOSHIBA IBM (STI) Cell Center of Competence Europe
Program Chair: Workshop on Computer Architecture Education WCAE, held in conjunction with the 42nd Annual International Symposium on Microarchitecture
International Program Committees (IPC): International Conference on Computer Graphics Theory and Applications GRAPP
International Program Committees (IPC): Workshop on Computer Architecture Education WCAE
International Program Committees (IPC): 4th International SCI-Europe Conference
International Program Committees (IPC): Graphics and Virtual Reality
Journal Referee: IEEE Transactions on Visualization and Computer Graphics
Journal Referee: IEE Proceedings Computers & Digital Techniques
Journal Referee: Journal of Systems and Software
Journal Referee: Computer Graphics Forum
Journal Referee: IEEE Embedded Systems Letters
Journal Referee: Neurocomputing
Organising Commitee: Industry Programme Chair - Eurographics
Organising Commitee: 2nd SCI Summer School
Organising Commitee: 1st SCI Summer School
Steering Committee: 4th International SCI-Europe Conference
Reviewer: Natural Sciences and Engineering Research Council of Canada's Strategic Project Grants (SPG) program
Reviewer: Siggraph Asia 2009 Courses Program
Reviewer: Euro-Par 2008
Reviewer: Web3D 2008
Reviewer: WSCG
General co-Chair, 28th International Conference on Field-Programmable Logic and Applications (FPL)
Event Chair, EGSR - 27th Eurographics Symposium on Rendering
Local Arrangements Chair, High-Performance Graphics
Awards and Honours
Master in Art (jure officii) Trinity College Dublin
Memberships
ACM SIGGRAPH and SIGARCH